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V3_20230929-7-xlm-roberta-base-new
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5365
- Loss: 2.4888
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 4.1508 | 1.82 | 200 | 0.375 | 3.5633 |
| 3.6085 | 3.64 | 400 | 0.4119 | 3.1221 |
| 3.3578 | 5.45 | 600 | 0.4551 | 3.0793 |
| 3.1507 | 7.27 | 800 | 0.4429 | 2.9413 |
| 3.0346 | 9.09 | 1000 | 0.4583 | 2.8397 |
| 2.895 | 10.91 | 1200 | 0.4667 | 2.6774 |
| 2.755 | 12.73 | 1400 | 0.5144 | 2.6758 |
| 2.732 | 14.55 | 1600 | 0.4986 | 2.3828 |
| 2.6781 | 16.36 | 1800 | 0.5072 | 2.6525 |
| 2.6185 | 18.18 | 2000 | 0.5183 | 2.6757 |
| 2.6455 | 20.0 | 2200 | 0.5365 | 2.4888 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
